Sebastiano Trevisani- PhD in Earth Sciences
- Professor (Associate) at Università Iuav di Venezia
Sebastiano Trevisani
- PhD in Earth Sciences
- Professor (Associate) at Università Iuav di Venezia
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77
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Publications (77)
This study focuses on a geomorphometric analysis of a small headwater basin of the Dolomites (Eastern Italian Alps). The analysis of the fine-scale surface morphology was performed on a high-resolution digital elevation model (cell size 2 m) derived from an airborne LiDAR survey. The topography was synthesized by a set of spatial-statistical indexe...
The analysis of surface textures plays an important role in the geomorphometric analysis of high-resolution digital terrain models. Surface textures can be analyzed by means of geostatistical variogram-based indices. The use of variogram-based indices is promising because of their ability to consider the multiscale and anisotropic character of morp...
Surface roughness, i.e. local variations in elevation which indicate less and less local smoothness, is an important concept for the analysis of solid earth/planetary surfaces and of the related surface processes. However, surface roughness is a general concept covering multiple aspects of the surface spatial variability structure, that can be char...
This study focuses on the quality evaluation of two of the best 1 arc-second public global digital elevation models (DEMs), Copernicus GLO-30 DEM and ALOS AW3D30 DSM, from the perspective of their capability to represent the terrain fine-scale morphology of a complex alpine landscape, located in the Italian Trentino Province. The analysis is perfor...
Digital Elevation Models (DEMs) play a key role in slope instability studies, ranging from landslide detection and recognition to landslide prediction. DEMs assist these investigations by reproducing landscape morphological features and deriving relevant predisposing factors, such as slope gradient, roughness, aspect, and curvature. Additionally, D...
Surface roughness, interpreted in the wide sense of surface texture, is a generic term referring to a variety of aspects and scales of spatial variability of surfaces. The analysis of solid earth surface roughness is useful for understanding, characterizing, and monitoring geomorphic factors at multiple spatiotemporal scales. The different geomorph...
At least 10 global digital elevation models (DEMs) at one-arc-second resolution now cover Earth. Comparing derived grids, like slope or curvature, preserves surface spatial relationships, and can be more important than just elevation values. Such comparisons provide more nuanced DEM rankings than just elevation root mean square error (RMSE) for a s...
We present a practical approach to inter-compare a range of candidate digital elevation models (DEMs) based on pre-defined criteria and statistically sound ranking approach. The presented approach integrates the randomized complete block design (RCBD) into a novel framework for DEMs comparison. The method presented provides a flexible, statisticall...
Understanding the interactions between the anthroposphere and the geosphere, such as natural hazards, land degradation, quantitative and qualitative impacts on ground and surface waters, is a challenging task. The monitoring and modelling of these interactions can be characterized by high uncertainties in data and models, especially when considerin...
The conscious and sustainable designing of environments, independently of the spatiotemporal scale of analysis, requires the characterization and mapping of multiple geo-environmental factors. This entails the need to reconstruct the transitions and alterations undergone by environments, with a special focus on the interactions between geosphere, a...
Definition Morphometry is usually reckoned as the quantitative analysis of solid earth surface morphology. It is mainly focused on the analysis of topography and bathymetry; however, its related concepts and methods can be applied to the analysis of any surface, being it natural (e.g., planetary geomorphology) or anthropic (e.g., surface metrology)...
Venice from the perspective of water resources and hydro-geomorphological dynamics, is emblematic of the complex geosphere-anthroposphere interactions that could characterize a coastal urban area. On the one hand, the hydrogeological setting is extremely heterogenous and complex, with interconnected processes acting at multiple spatiotemporal scale...
This study focuses on the quality evaluation of two of the best 1 arc-second public global digital elevation models (DEMs), Copernicus GLO-30 DEM and ALOS AW3D30 DSM, from the perspective of their capability to represent the terrain morphology of a complex alpine landscape, located in the alpine Trentino Province, in the Italian Alps. The analysis...
The spatiotemporal analysis and mapping of soil organic matter (SOM) play a pivotal role for evaluating soil health and for implementing preservation and restoration actions. In this context, the first aim of the study is to furnish a high-resolution mapping of current SOM content in eastern Croatia. The second aim is to perform a diachronic analys...
Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) techniques are gaining momentum in the assessment and health monitoring of infrastructure assets. Amongst others, the Persistent Scatterers Interferometry (PSI) technique has proven to be viable for the long-term evaluation of ground scatterers. However, its effectiveness as a routi...
This study reports the geostatistical analysis of a set of 40 single-station horizontal-to-vertical spectral ratio (HVSR) passive seismic survey data collected in the Kathmandu basin (Nepal). The Kathmandu basin is characterized by a heterogeneous sedimentary cover and by a complex geo-structural setting, inducing a high spatial variability of the...
This opinion paper discusses some of the challenges and opportunities that earth scientists face today in connection with environmental problems. It focuses on aspects that are related to the role of geocomputational approaches and new technologies for geoenvironmental analysis in the context of sustainable development. The paper also points out a...
This paper deals with the geoenvironmental politics of early-modern Venice as a case study of geological agency that enlightens the entanglements of geo-history and human history. It focuses on a controversy that was sparked by Galileo’s pupil Benedetto Castelli, as he claimed that his mathematical treatment of running waters could solve all of the...
The use of geomorphometric variables or, from a machine learning perspective, geomorphometric features, sometimes coupled with other remote sensing derived variables, is often adopted for the spatial prediction of geoenvironmental properties of interest (e.g. soil and geo-engineering mapping). In other circumstances, geomorphometric features are an...
In this study a set of 39 single station passive seismic surveys conducted in the Kathmandu basin (Nepal), based on the horizontal to vertical spectral ratio methodology (HVSR), is analyzed by means of a geostatistical approach. The Kathmandu basin is characterized by a heterogeneous sedimentary cover and by a complex geostructural setting, inducin...
Understanding the geoenvironment and deciphering its interactions with the anthroposphere is a key element for achieving the United Nations defined Sustainable Development Goals (SDGs). Moreover, the objective and holistic analysis of the geoenvironmental system may suggest to modify existing SGDs or to define new ones. The analysis of geosphere-an...
River catchments are highly complex systems characterized by several properties such as self-organization, multi-scale variability, hydraulic and topographic gradients, patchiness and heterogeneity, resilience and a hierarchical structure. These features, coupled with several geomorphological, anthropogenic and climatic drivers, are expected to inf...
The geomorphometric indexes has been widely used for separation of surface landform features in the geomorphology science over the past decades. In dis study, Multilayer Perceptron Neural Network (MPNN) was used to provide karstic landform classification. To that regard, initially, geomorphometric indicators were extracted from Digital Elevation Mo...
Nearly-global digital elevation models (DEMs) – Shuttle Radar Topography Mission DEM (SRTM1 DEM), Advanced Spaceborne Thermal Emission and Reflection Radiometer Global DEM (ASTER GDEM), and Advanced Land Observing Satellite World 3D digital surface model (AW3D30 DSM) – are widely used in geosciences. A nearly-continental European DEM (EU-DEM) is al...
A historical building is often a vulnerable system exposed to multiple natural and/or anthropic hazards. It seems to be the case of the 1000-year-old leaning bell tower of Caorle (Venice), whose leaning angle increased during the XX century up to 1.4°. The main interactions between this building and its environment were studied by means of a cost-e...
Historic masonry towers, as well as bell towers, minarets and chimneys, represent an important part of the Mediterranean basin architectural heritage. Widely spread out on the Italian peninsula, the bell towers reflect cultural, social and religious aspects of the communities, thus, their conservation remains an open challenge for scientists, gover...
The geomorphometric analysis of digital elevation models (e.g., Florinsky, 2017) tends to produce high-dimensional datasets, i.e. characterized by a high number of input features. This is first related to the high number of morphometric variables and local statistical metrics (e.g., roughness indices) available for computation. Another contributing...
In this study, the impact of robust surface texture indices on the unsupervised morphological segmentation of an alpine basin is explored. Roughness indices calculated on a high resolution digital terrain model derived by means of airborne LiDAR (Light Detection and Ranging) are used as input features in the clustering procedure. The segmentation i...
Extensive passive seismic prospecting has been conducted in the historical center of Venice (North Italy) aimed to map subsoil impedance contrast. Venice represents an emblematic study site of the challenging characteristics that can be encountered in historical sites, both stratigraphic and logistical, limiting the application of common microzonat...
Spatial mapping of soil organic matter (SOM) and evaluation of the related natural and anthropic influencing factors are crucial to monitor the extent of degraded land and the evolution of soil functions. The objective of this work is to study the spatial distribution of SOM in a highly exploited agricultural area in the Baranja Region (Croatia). T...
Debris flows are widespread phenomena in mountain catchments causing major damage when they intersect transport routes or urban areas. The assessment of areas affected by debris flows and their spatial characterization is thus a major issue in the framework of watershed management. This work presents a simple and fast semi-automated procedure devel...
Special issue “Learning from spatial data: unveiling the geo-environment through quantitative approaches” in the Journal of Environmental Earth Sciences (https://link.springer.com/journal/12665 ) - Impact Factor 1.569 - Important dates:
Submission open now!
New deadline for paper submission: 31th March 2018 - For expressing interest or for more inf...
In this paper, preliminary results of a study aimed at the structural characterization of the “Guglie” bridge, located in the historical city of Venice (Italy), are presented. The study is based on theoretical and numerical modeling and on experimental investigations. The mechanical characterization of the bridge is obtained by means of expeditious...
Debris flows are widespread phenomena in mountain catchments causing major damage when they intersect transport routes or urban areas. The assessment of areas affected by debris flows and their spatial characterization is thus a major issue in the framework of watershed management. This work presents a simple and fast semi-automated procedure devel...
Venice constitutes an emblematic study site from the viewpoint of the challenging characteristics that can be encountered in performing microzonation studies in historical centers. Venice presents high logistical difficulties in relation to the intense touristic fluxes, to the high building spatial-density and to the fact that many sites are reacha...
The assessment of the areas endangered by debris flows is a major issue in the context of mountain watershed management. Depending on the scale of analysis, different methods are required for the assessment of the areas exposed to debris flows. While 2-D numerical models are advised for detailed mapping of inundation areas on individual alluvial fa...
Spatial and temporal characterization of soil properties in agro-ecosystems is crucial for monitoring the evolution of soil functions and for understanding the main influential processes. Moreover, the objective mapping of soil properties in agro-ecosystems is urgently needed for regional planning purposes and the proper choice of land management p...
In mountain environments the mutual interaction between structural elements and surface processes is one of the major driver of landscape evolution. Surface morphology, as a result of this interaction, carries important information to characterize the active structure-process mutual dynamics. For this reason, it is important to derive as much infor...
Robust and generalized roughness evaluation for landscape geomorphometric characterization. In this work, some potentialities and characteristics of a new class of geostatiscal-based roughness indexes are presented. The proposed indexes rely on MAD estimator (median absolute differences); MAD, with its implementation based on local kernels, permits...
Climate change is expected to have an important influence on the crop production in agricultural regions. Soil carbon represents an important soil property that contributes to mitigate the negative influence of climate change on intensive cropped areas. Based on 5063 soil samples sampled from soil top layer (0-30 cm) we studied the spatial distribu...
In this study, we explore the impact of robust surface texture indexes based on MAD (median absolute differences), implemented by Trevisani and Rocca (2015), in the unsupervised morphological segmentation of an alpine basin. The area was already object of a geomorphometric analysis, consisting in the roughness-based segmentation of the landscape (T...
In this paper, a procedure for the evaluation of seismic behavior of slender masonry structures (towers, bell towers, chimneys, minarets, etc.) is presented. The presented procedure is based on a full three-dimensional modal analyses and frequency measurements. As well-known, masonry is a composite material
formed by bricks, or stone blocks, and mo...
The HVSR (Horizontal to Vertical Spectral Ratio) technique is very popular in the context of seismic microzonation and for the mapping of shallow seismic reflectors, such as the sediment/bedrock transition surface. This easy-to-deploy single station passive seismic technique permits the collection of a considerable amount of HVSR data in a cost-eff...
In this study we investigate the surface flow time of rise in response to rainfall and snowmelt events at different spatial scales and the main sources originating channel runoff and spring water in a steep nested headwater catchment (Rio Vauz, Italian Dolomites), characterized by a marked elevation gradient. We monitored precipitation at different...
Surface texture analysis applied to High Resolution Digital Terrain Models (HRDTMs) is a promising approach for extracting useful fine-scale morphological information. Surface roughness, considered here as a synonym of surface texture, can have a discriminant role in the detection of different geomorphic processes and factors. Very often, the local...
Surface texture analysis applied to high-resolution digital terrain models
(HRDTMs) is a promising approach for extracting useful fine-scale
morphological information. Surface roughness, considered here as a synonym
of surface texture, can have a discriminant role in the detection of
different geomorphic processes and factors. Very often, the local...
Dear Colleague,
I would be grateful if you would consider to submit an abstract to the session “Learning from spatial data: representation, inference and modelling in earth and soil sciences” on the next EGU (European Geosciences Union) meeting, to be held in Vienna (Austria), from 17–22 April 2016. The deadline for the receipt of abstracts is 13 J...
In relation to the meeting session "Learning from spatial data: rappresentazione, analisi e processi geo-ambientali" (Learning from data: representation, analysis and geo-environmental processes) we presented a geomorphometric analysis via ad-hoc developed robust surface texture operators, specifically designed for the analysis of high resolution D...
Hypsometric curves and integrals are effective tools for rapid quantitative assessments of topography. High-resolution digital terrain models derived from airborne LiDAR data have been analysed to study the hypsometry of small headwater rock basins (drainage areas up to 0.13 km2) in three study areas in the Dolomites (Eastern Alps) that have simila...
A seismic sequence that included a moment magnitude MW=5.9MW=5.9 earthquake struck three regions of Northern Italy (Emilia Romagna, Veneto and Lombardy) in May–June 2012. The sequence caused significant damage to several historical buildings and in some cases caused complete structural collapse. Cracks appeared in the belfry and cusp of the 69 m hi...
IR thermography has been applied in the retrofit of an old church to be utilized, after the suitable restoration activity, as a concert hall. The church was built in Asolo (North -East Italy) presumably around the XIII century and it is dedicated to San Gottardo. Very little is known about the church, therefore it is interesting to discover as much...
Complex and rugged topography induces large variations in erosion and sediment delivery in the headwaters of alpine catchments. An effective connection of hillslopes with the channel network results in highly efficient sediment transfer processes, such as debris flows. In contrast, morphological conditions producing decoupling of hillslopes from ch...
![Figure 3-Method of Peuker and Douglas [1975] for the identification of...](profile/Marco-Cavalli-5/publication/269309820/figure/fig3/AS:670029574062086@1536758907384/Method-of-Peuker-and-Douglas-1975-for-the-identification-of-the-upwards-grid-cells-The_Q320.jpg)
High-resolution digital terrain models (HR-DTMs) of regional coverage open interesting scenarios for the analysis of landscape, including derivation and analysis of channel network. In this study, we present the derivation of the channel network from a HR-DTM for the Autonomous Province of Trento. A preliminary automatic extraction of the raw chann...
In high elevation alpine catchments, first-order streams are often
constituted by steep and narrow channels bound by cliffs. These channels
frequently have a structural control imposed by fractures and faults in
bedrock and typically constitute temporary streams where snowmelt
processes strongly influence runoff. Rocky headwater basins show a
diffe...
The availability of high resolution digital terrain models (HR-DTM)
opens the possibility to characterize quantitatively the solid earth
surface morphology at high level of spatial detail. From this
perspective, surface texture characterization can be intended in an
analogous way to what performed for the analysis of artificial surfaces.
The charac...
![Fig. 7. Longitudinal slope [m/m] calculated on SW and LW, plotted along...](profile/Lorenzo_Marchi/publication/40892388/figure/fig4/AS:394361268391943@1471034461587/Longitudinal-slope-m-m-calculated-on-SW-and-LW-plotted-along-the-centreline-of-the_Q320.jpg)
High-resolution topographic data expand the potential of quantitative analysis of the earth surface, improving the interpretation of geomorphic processes. In particular, the morphologies of the channel beds of mountain streams, which are characterised by strong spatial variability, can be analysed much more effectively with this type of data. In th...
Geostatistical methods are well suited for analyzing the local and spatial uncertainties that accompany the modeling of highly heterogeneous three-dimensional (3D) geological architectures. The spatial modeling of 3D hydrogeological architectures is crucial for polluted site characterization, in regards to both groundwater modeling and planning rem...
1] This paper illustrates the main results of a statistical analysis performed on a data set obtained by integrating experimental observations collected during many oceanographic research projects on the northern Adriatic Sea (NAS). The observations cover the last 20 years and provide a robust base for the assessment of the current state and scales...
Herein, an aerial LiDAR topographic dataset is analysed and interpolated by means of geostatistical techniques in order to examine the morphology of a scree slope area in the Eastern Italian Alps. The LiDAR-derived digital terrain model (DTM) is analysed using variogram maps as spatial continuity indexes. This allowed for evaluation of the reproduc...
This paper illustrates the results of a classification analysis of around 200 spatial distributions of temperature and salinity in the Northern Adriatic Sea. Maps are obtained by spatial interpolation of experimental observations collected during many oceanographic research projects performed in this area during the last 20 years. The classificatio...
In this paper we present an assessment of present state and scales of variability of biogeochemical properties along coastal zone of the North Western Adriatic Sea, and discuss emerging properties in view of the influence of water runoff from many rivers, interaction with the lagoons (Venice and Caorle) and influence of the open sea. The analysis r...
This presentation deals with some aspects of the geostatistical methodologies (CRESSIE, 1993; BURROUGHS, 2000), deemed important in the context of hydrogeology and applied geology. In particular the discussion is directed toward the following topics: - exploratory data analysis: in this section the author remarks the importance and independence of...
The spatial distribution of groundwater temperatures in the low-temperature (60–86°C) geothermal Euganean field of northeastern Italy has been studied using a geostatistical approach. The data set consists of 186 temperatures measured in a fractured limestone reservoir, over an area of 8km2. Investigation of the spatial continuity by means of vario...
In the geothermal Euganean area (Veneto region, NE Italy) watertemperatures range from 60°C to 86°C. The aquifer considered is rocky, principally extended in fractured Mesozoiclimestone. For exploitation purposes, it is important to identify zones with a high probability that the temperature is higer than 80°C. First, variographic analysis was cond...
The study zone is located in the city of Padova (the Veneto region, NE Italy). The industrial activities present in this area
since 1950 have produced very high concentrations of Pb, Zn, Cu, Pcb and oils until a depth of 7 m. The unsaturated and the
saturated zones are both polluted. Because of the abundance of Pb values it was decided to analyze t...
Questions
Questions (2)
Dear all,
I was looking for some code for calculating regularized variograms, starting from a model variogram for a punctual support. I read some literature but I was not able to find available code (for example in R). Now, to mimic change of support quickly, I could perform geostatistical simulations, aggregating and then calculating regularized variograms. However, it is an approximate solution and it seems that more robust solutions exist.
Thank you in advance for any indication,
Sebastiano
Dear all,
where can I find the original of the work cited below?
I would like to give a more in deep view to Gandin's work to understand better
the connections with geostatistics.
Thank you in advance!
Gandin, L. S.. 1965, Objective analysis of meteorological fields: U.S. Dept. Commerce and National Science Foundation 1Washington, D.C.), 242 p. (Original in Russian, ob"ektivnyi analiz meteorologicheskikh polei, 1963).
